Evidence map›Paper›PMID 42138330›Full record

ReviewCurrent opinion in allergy and clinical immunology2026

The immunogenicity and safety of adenoviral-based vaccines.

Joshua Gardner

Abstract readReview
In one paragraph

Review in Current opinion in allergy and clinical immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Joshua GardnerCentre for Drug Safety Science, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewHuman adenoviruses (HAdVs) have shown promise as versatile and effective delivery vectors for vaccine development. This was highlighted during the COVID-19 pandemic, which demonstrated the importance of effective vaccines but also provided scope to explore potential limitations of current viral-vector based strategies. This review summarizes the current applications of adenoviral vectors, in addition to discussing the immunological mechanisms underpinning immunogenicity and safety of viral vector-based vaccines. RECENT

findingsClinical trials involving HAdVs have been undertaken to combat a range of infectious diseases, such as SARS-CoV-2, Ebola and HIV-1. However, empirical evidence indicates that preexisting T-cell immunity to adenoviruses may occur independent of serological exposure, predominantly arising from the conserved nature of immunogenic hexon proteins. As a result, T-cell responses are frequently detectable and often demonstrate broad cross-reactivity between human and nonhuman adenovirus (AdV) serotypes. Adverse events to vaccination are rare, although thrombotic events and severe cutaneous adverse reactions have been reported. SUMMARY: Antivector T-cell immunogenicity arising from preexisting viral exposure or T-cell cross-reactivity may influence vaccine-specific immune responses. Continuous iterative refinement within the development of new vaccine vector technologies is therefore essential to circumvent limitations associated with vector-specific T-cell responses. However, mechanistic insight on the role of T-cells within pathomechanisms of adverse events remains unclear.

Indexed as

AdenoviridaeAdenoviruses, HumanCOVID-19COVID-19 VaccinesGenetic VectorsImmunogenicity, VaccineSARS-CoV-2T-LymphocytesAnimalsCross ReactionsHumansCOVID-19 VaccinesadenovirusCOVID-19T-cellsvaccines

Identifiers

PMID42138330
PMCPMC13336612

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.